Title: Spatiotemporal variations and influence factors of greenhouse gas carbon dioxide over China using satellite measurements

Authors: Yanfang Hou; Litao Wang; Yi Zhou; Shixin Wang; Fuli Yan; Wenliang Liu; Jinfeng Zhu

Addresses: Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China ' Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China ' Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China ' Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China ' Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China ' Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China ' Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

Abstract: Spatiotemporal distributions of CO₂ obtained from the greenhouse gases observing satellite (GOSAT) over China from 2010 to 2017 and influence factors are presented in this study. It shows an annual increase and a seasonal cycle. The CO₂ annual growth rate was about 2.34 ppm year⁻¹, with the highest value being in spring and the lowest in autumn. Yearly variations in the CO₂ over eight economic regions are prominent, the regions with higher CO₂ concentration also have higher increase rate. Some factors affecting variations in CO₂ are analysed in this study. There is a stronger negative relationship between CO₂ and MODIS vegetation products. Population density and energy consumption are anthropogenic factors in increasing CO₂ concentration, and CO₂ variation shows a high correlation with population density in eight economic regions [coefficient of determination (R²) = 0.76]. CO₂ and energy consumption also have a better correlation (R² > 0.66) in the most regions.

Keywords: GOSAT; remote sensing; CO₂; spatiotemporal variations; regional change characteristics; influence factors; China.

DOI: 10.1504/IJGW.2021.112487

International Journal of Global Warming, 2021 Vol.23 No.1, pp.43 - 57

Received: 10 Dec 2019
Accepted: 09 Jun 2020
Published online: 19 Jan 2021 *

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